Showing 1–11 of 11 results
/ Date/ Name
Oct 16, 2022An efficient deep neural network to find small objects in large 3D imagesJul 30, 2019Screening Mammogram Classification with Prior ExamsMar 20, 2019Deep Neural Networks Improve Radiologists' Performance in Breast Cancer ScreeningApr 8, 2025A Multi-Modal AI System for Screening Mammography: Integrating 2D and 3D Imaging to Improve Breast Cancer Detection in a Prospective Clinical StudyJun 7, 2019Globally-Aware Multiple Instance Classifier for Breast Cancer ScreeningFeb 13, 2020An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localizationSep 19, 2020Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammogramsOct 19, 2020Investigating and Simplifying Masking-based Saliency Methods for Model InterpretabilityNov 6, 2023Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal DataAug 16, 2024A training regime to learn unified representations from complementary breast imaging modalitiesAug 4, 2020An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department